IDEAS home Printed from https://ideas.repec.org/a/prs/ecoprv/ecop_0249-4744_2004_num_166_5_7381.html
   My bibliography  Save this article

Estimation de l’efficience des dépenses de santé au niveau départemental par la méthode DEA

Author

Listed:
  • Sylvain Pichetti
  • David Bardey

Abstract

[fre] Les départements français présentent de fortes disparités en matière de dépenses de santé . Le problème des autorités publiques est de déterminer si ces écarts représentent des différences en termes de besoins sanitaires et médicaux ou s ’ ils résultent d ’ une mauvaise gestion du risque maladie par les différents acteurs du système de santé dans certains départements . Nous proposons une estimation de l ’ efficience des dépenses de santé à l ’ échelon départemental . Notre estimation résulte d ’ une comparaison des niveaux des dépenses de santé qui tient compte des résultats exprimés en termes de morbidité ainsi que de l ’ environnement de chaque département . Nous montrons enfin comment les scores DEA peuvent être utilisés au sein du système de péréquation interrégionale . [eng] There are wide discrepancies between French départements as regards health expenditure . The problem for the public authorities is to determine whether these gaps represent differences in health and medical needs or are the consequence of inefficient management of health risks by the various participants in the healthcare system in certain départements . We suggest an estimation of the efficiency of health expenditure in individual départements . This measure of marginal efficiency results from a comparison of the levels of health expenditure taking into account indicators of morbidity and of the environment of each département . We use a DEAmodel in order to obtain a measure of managerial efficiency that allows for exogenous features of the operating environment . Finally , we show how DEAscores can be used as a yardstick in the interregional equalisation system .

Suggested Citation

  • Sylvain Pichetti & David Bardey, 2004. "Estimation de l’efficience des dépenses de santé au niveau départemental par la méthode DEA," Économie et Prévision, Programme National Persée, vol. 166(5), pages 59-69.
    • Handle: RePEc:prs:ecoprv:ecop_0249-4744_2004_num_166_5_7381
    DOI: 10.3406/ecop.2004.7381
    Note: DOI:10.3406/ecop.2004.7381
    as

    Download full text from publisher

    File URL: https://doi.org/10.3406/ecop.2004.7381
    Download Restriction: no
    File URL: https://www.persee.fr/doc/ecop_0249-4744_2004_num_166_5_7381
    Download Restriction: no
    File URL: https://libkey.io/10.3406/ecop.2004.7381?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pierre‐Yves Crémieux & Pierre Ouellette & Caroline Pilon, 1999. "Health care spending as determinants of health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 8(7), pages 627-639, November.
    2. Hitiris, Theo & Posnett, John, 1992. "The determinants and effects of health expenditure in developed countries," Journal of Health Economics, Elsevier, vol. 11(2), pages 173-181, August.
    3. Park, Soo-Uk & Lesourd, Jean-Baptiste, 2000. "The efficiency of conventional fuel power plants in South Korea: A comparison of parametric and non-parametric approaches," International Journal of Production Economics, Elsevier, vol. 63(1), pages 59-67, January.
    4. Jayasuriya, Ruwan & Wodon, Quentin, 2003. "Measuring and Explaining Country Efficiency in Improving Health and Education Indicators," MPRA Paper 11183, University Library of Munich, Germany.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Margherita Giannoni & Theodore Hitiris, 2002. "The regional impact of health care expenditure: the case of Italy," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1829-1836.
    7. Peter Bogetoft, 2000. "DEA and Activity Planning under Asymmetric Information," Journal of Productivity Analysis, Springer, vol. 13(1), pages 7-48, January.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Kristiaan Kerstens & Philippe Vanden Eeckaut, 1999. "A new criterion for technical efficiency measures: non-monotonicity across dimensions axioms," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(1), pages 45-59.
    10. Agrell, Per J. & Bogetoft, Peter, 2001. "DEA-Based Incentive Regimes in Health-Care Provision," Unit of Economics Working Papers 24182, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    2. Agrell, Per J. & Niknazar, Pooria, 2014. "Structural and behavioral robustness in applied best-practice regulation," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 89-103.
    3. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    4. Noel Uri, 2003. "The Effect of Incentive Regulation in Telecommunications in the United States," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(2), pages 169-191, May.
    5. Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., 2021. "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a Stochastic Environmental Kuznets Frontier," FEEM Working Papers 316226, Fondazione Eni Enrico Mattei (FEEM).
    6. Nguyen, Khac Minh & Giang, Thanh Long, 2009. "Efficiency Estimates for the Agricultural Production in Vietnam: A Comparison of Parametric and Non-parametric Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 10(2), pages 1-17.
    7. Becchetti, Leonardo & Conzo, Pierluigi & Salustri, Francesco, 2017. "The impact of health expenditure on the number of chronic diseases," Health Policy, Elsevier, vol. 121(9), pages 955-962.
    8. Ahn, Heinz & Clermont, Marcel & Langner, Julia, 2023. "Comparative performance analysis of frontier-based efficiency measurement methods – A Monte Carlo simulation," European Journal of Operational Research, Elsevier, vol. 307(1), pages 294-312.
    9. Musshoff, Oliver & Hirschauer, Norbert & Herink, Michael, 2009. "Bei welchen Problemstrukturen sind Data-Envelopment-Analysen sinnvoll? Eine kritische Würdigung," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 58(02), pages 1-11, February.
    10. Caitlin O’Loughlin & Léopold Simar & Paul W. Wilson, 2023. "Methodologies for assessing government efficiency," Chapters, in: António Afonso & João Tovar Jalles & Ana Venâncio (ed.), Handbook on Public Sector Efficiency, chapter 4, pages 72-101, Edward Elgar Publishing.
    11. Murat Gündüz, 2020. "Healthcare expenditure and carbon footprint in the USA: evidence from hidden cointegration approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(5), pages 801-811, July.
    12. Gil, Guilherme Dôco Roberti & Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & Mayrink, Vinícius Diniz, 2017. "Spatial statistical methods applied to the 2015 Brazilian energy distribution benchmarking model: Accounting for unobserved determinants of inefficiencies," Energy Economics, Elsevier, vol. 64(C), pages 373-383.
    13. Kammoun Rabeb, 2018. "The Technical Efficiency of Tunisian Ports: Comparing Data Envelopment Analysis and Stochastic Frontier Analysis Scores," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 9(2), pages 73-84, October.
    14. Lynes, Melissa & Featherstone, Allen, 2015. "Economic Efficiency of Utility Plants Under Renewable Energy Policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205674, Agricultural and Applied Economics Association.
    15. W. Cooper & C. Lovell, 2011. "History lessons," Journal of Productivity Analysis, Springer, vol. 36(2), pages 193-200, October.
    16. Nykamp, Stefan & Andor, Mark & Hurink, Johann L., 2012. "‘Standard’ incentive regulation hinders the integration of renewable energy generation," Energy Policy, Elsevier, vol. 47(C), pages 222-237.
    17. Javier DEAZA & Enrique GILLES & Alejandro VIVAS, 2016. "Productivity Measurements For South Korea And Three Countries Of The Pacific Alliance: Colombia, Chile And Mexico, 2008-2012," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(2), pages 75-85.
    18. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.
    19. Livio Di Matteo & Thomas Barbiero, 2020. "Spend Less, Get More? Explaining Health Spending and Outcome Differences Between Canada and Italy," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 12(4), pages 403-438, December.
    20. Avkiran, Necmi K. & Rowlands, Terry, 2008. "How to better identify the true managerial performance: State of the art using DEA," Omega, Elsevier, vol. 36(2), pages 317-324, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:prs:ecoprv:ecop_0249-4744_2004_num_166_5_7381. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Equipe PERSEE (email available below). General contact details of provider: https://www.persee.fr/collection/ecop .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.